# Ha-Kake: decoding Nissan Leaf CAN signals for a telemetry dashboard

> Ha-Kake documents how Nissan Leaf CAN and OBD-II signals were identified and decoded for a local vehicle dashboard. The repository pairs signal byte tables and an eight-chapter investigation guide with a Python reader, vehicle profiles, replay tools and a simulator.

- Type: Case study
- Targets: Protocol
- Category: Independent reconstruction cases
- Relationship: Independent reconstruction project
- Sources reviewed: 2026-11-06
- Added to the catalog: 2026-11-09
- Original resource: <https://github.com/davidkarnowski/Ha-Kake>
- Primary source: <https://github.com/davidkarnowski/Ha-Kake/blob/2312f0a209c72ca5df2a82cba3adb0562bf17dd6/docs/reverse-engineering/00-index.md>
- Catalog page: <https://awesomerea.org/resources/ha-kake-leaf-can-case/>
- Record JSON: <https://awesomerea.org/resources/ha-kake-leaf-can-case/record.json>
- Chinese version: [简体中文](https://awesomerea.org/zh/resources/ha-kake-leaf-can-case/index.md)

## Requirements & limits

- **Prerequisites:** A laptop and an ELM327 BLE or USB adapter for live vehicle readings.
- **Limits:** The author reports use on a 2012 Nissan Leaf and a 2009 Mitsubishi Lancer; some Leaf decodes are tentative.
- **License:** AGPL-3.0-or-later.

## Primary sources

1. <https://github.com/davidkarnowski/Ha-Kake/blob/2312f0a209c72ca5df2a82cba3adb0562bf17dd6/docs/reverse-engineering/00-index.md>
2. <https://github.com/davidkarnowski/Ha-Kake/blob/2312f0a209c72ca5df2a82cba3adb0562bf17dd6/README.md>
3. <https://github.com/davidkarnowski/Ha-Kake/blob/2312f0a209c72ca5df2a82cba3adb0562bf17dd6/pyproject.toml>

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## About this entry

The description was reviewed against primary sources.
Original editorial content: MIT. Linked projects, papers and assets retain their own rights and licenses.